Diet‐induced Obesity Delays Cardiovascular Recovery from Stress in Spontaneously Hypertensive Rats
Bibliographic record
Abstract
OBJECTIVE: Blood pressure (BP) and heart rate (HR) responses to stress are significant predictors of cardiovascular morbidity and mortality. Because obesity is a major risk factor for cardiovascular disease, we examined whether diet-induced obesity alters the BP and HR responses to stress and whether these alterations are associated with augmented cardiovascular morbidity in the rat. RESEARCH METHODS AND PROCEDURES: Adult male spontaneously hypertensive rats were fed either a normal diet or high-fat diet (HFD) for 12 weeks. At weeks 0 and 12, body weight was measured, and BP and HR were recorded by radiotelemetry throughout three consecutive day and night periods and in response to 30-minute immobilization stress. At the end of the 12-week intervention, the rats were sacrificed, and their organs and sera were collected. RESULTS: With the intervention, HFD rats showed a significantly greater increase in body weight (as expected) and circulating leptin and free fatty acid levels compared with normal diet rats. In addition, they showed similar increases in BP and HR elevations during stress but significantly slower BP and HR decreases after stress. These HFD-induced delays in stress recovery were associated with BP and HR elevations during the night (behaviorally active) period and with augmentations in cardiac mass. DISCUSSION: The results of this study indicate that, in spontaneously hypertensive rats, dietary obesity delays cardiovascular recovery from stress, and, in parallel, it promotes the development of nocturnal hypertension as well as cardiac hypertrophy. This suggests that dietary obesity may significantly potentiate the impact of daily stressful experiences on the cardiovascular system.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".